Assessing drought in Turkish basins through satellite observations

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dc.authoridYilmaz, Mustafa Utku/0000-0002-5662-9479
dc.authoridOZCELIK, CEYHUN/0000-0003-4111-2562
dc.contributor.authorOzcelik, Ceyhun
dc.contributor.authorYilmaz, Mustafa Utku
dc.contributor.authorBenli, Kader
dc.date.accessioned2024-08-31T07:48:07Z
dc.date.available2024-08-31T07:48:07Z
dc.date.issued2024
dc.departmentEge Üniversitesien_US
dc.description.abstractDrought occurs when there is a sustained decrease in rainfall over an extended period, impacting the socio-cultural and environmental aspects of humans and other living beings. The geographic distribution and timing of droughts play a crucial role in drought management and mitigation strategies. Identifying and predicting the onset of droughts in specific regions, especially in watershed areas, is a primary concern in the field of hydrology. This study focuses on how the spatiotemporal patterns of drought are developing in Turkish Basins using detailed data on Terrestrial Water Storage (TWS), precipitation, and temperature at the pixel level. GRACE (Gravity Recovery and Climate Experiment), PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks), and WorldClim (World Climate) data sets are employed to assess long-term changes of drought on a basin-scale. Spatial analyses are conducted in a Geographic Information System (GIS) environment for the derivation of basinal monthly mean, minimum, and maximum statistics of TWS, precipitation, and temperature anomalies within Turkish Basins. Time series analyses are implemented to investigate the temporal evolution of droughts in these basins, for the basinal monthly mean, minimum, and maximum statistics obtained. The Mann-Kendall trend test and Pettitt change point detection tests are used to assess the statistical significance of the calculated trends and to expose the existence of any change point therein, respectively. The findings of the study indicate that Turkiye faces a significant risk of drought development in nearly all its basins, particularly after 2016. The GRACE dataset provides realistic insights into the temporal behaviour of hydrological droughts. PERSIANN is effective in identifying years with extreme meteorological conditions, and the standardized precipitation index (SPI) shows similar effectiveness, while they are ineffective in exposing significant trends due to the nature of the precipitation data. WorldClim data proves insufficient for modelling the temporal behaviour of droughts in these basins. This study examines drought patterns in Turkish basins using GRACE, PERSIANN, and WorldClim datasets. Results indicate significant drought risk in most basins, especially after 2016. GRACE offers insights into hydrological droughts, PERSIANN identifies extreme meteorological conditions, and SPI shows similar effectiveness. However, WorldClim data lacks adequacy for drought modelling. imageen_US
dc.description.sponsorshipThe authors would like to thank and acknowledge Hashmatullah Kaihan for his contribution under the effort of his Master's Thesis supervised by the first author.en_US
dc.identifier.doi10.1002/joc.8541
dc.identifier.endpage3640en_US
dc.identifier.issn0899-8418
dc.identifier.issn1097-0088
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85197433752en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3613en_US
dc.identifier.urihttps://doi.org/10.1002/joc.8541
dc.identifier.urihttps://hdl.handle.net/11454/104670
dc.identifier.volume44en_US
dc.identifier.wosWOS:001260557600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal of Climatologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240831_Uen_US
dc.subjectDroughten_US
dc.subjectGraceen_US
dc.subjectPersiannen_US
dc.subjectSpatial Analysisen_US
dc.subjectSpien_US
dc.subjectWorldclimen_US
dc.titleAssessing drought in Turkish basins through satellite observationsen_US
dc.typeArticleen_US

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